The best part of the fediverse is that anyone can run their own server. The downside of this is that anyone can easily create hordes of fake accounts, as I will now demonstrate.
Fighting fake accounts is hard and most implementations do not currently have an effective way of filtering out fake accounts. I’m sure that the developers will step in if this becomes a bigger problem. Until then, remember that votes are just a number.
If an account is upvoted because it’s posting high-quality content, we’d expect those votes to come from a variety of accounts that don’t otherwise have a tendency to vote for the same things.
Suppose you do regression analysis on voting patterns to identify the unknown parameters determining how accounts vote. These will mostly correlate with things like interests, political views, geography, etc.—and with bot groups—but the biggest parameter affecting votes will presumably correlate with a consensus view of the general quality of the content.
But accounts won’t get penalized if their votes can be predicted by this parameter: precisely because it’s the most common parameter, it can be ignored when identifying voting blocs.
No, I completely disagree and reject your premise.
Many times really high quality content will be voted for by only a small subset of the population.
In general people will vote for lowest common denominator widely appealing click bait. That type of content will get varied voters because of wide appeal. Discerning voters represent a smaller but consistent subset of the population, and this proposed algorithm will penalize that and just lead to more low quality widely appealing click bait.
Sure, the “consensus view of general quality” will depend on the opinions of your user base—but if that’s the source of your objection, your issue is with the user base and not vote manipulation per se.
Your oversimplification makes it sound like this is just my personal preference, and not a natural tendency of humans or social media interactions.
This is not just “I like X more”, this is “humans on a large scale act like probabilistic decision trees and will converge on lowest common denominator dopamine fountains without careful checks and considerations”
The latter is necessary for high quality networked media and discussion